Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day.
Role Overview Design, build, and maintain cloud-native backend services that power a globally distributed messaging platform supporting real-time customer and enterprise communications. As a Software Engineer, you will contribute to the development of secure, scalable, and reliable microservices while working closely with experienced engineers, product managers, and cross-functional teams. You will take ownership of features throughout the software development lifecycle, continuously improve platform quality and operational excellence, and help deliver resilient services that enable seamless customer experiences for millions of users worldwide.
Key Responsibilities Design, develop, test, and maintain scalable microservices that support high-volume, real-time messaging workloads. Deliver features from technical design through implementation, testing, deployment, and production support with guidance on larger architectural decisions. Contribute to the reliability and performance of services by implementing effective logging, monitoring, alerting, and observability practices.
Participate in the design and evolution of cloud-native services using modern software engineering principles and distributed system patterns. Collaborate with product managers, engineers, and other stakeholders to deliver high-quality solutions that meet customer and business needs. Write clean, maintainable, and well-tested code while following engineering standards and best practices. Participate in code reviews, knowledge sharing, and continuous improvement initiatives to strengthen engineering quality across the team.
Help ensure applications meet security, privacy, and compliance requirements, including PCI, HIPAA, and GDPR where applicable. Use AI-assisted development tools responsibly to improve productivity, code quality, testing, and delivery while maintaining strong engineering standards. Support operational excellence by investigating production issues, participating in incident response, and contributing to continuous service improvements.
Required Qualifications 3+ years of professional software engineering experience with a focus on backend application development. Experience building and maintaining cloud-native or distributed applications. Proficiency in TypeScript and/or Java, with the ability and willingness to work across multiple backend technologies. Experience developing RESTful APIs and service-oriented applications.
Understanding of the software development lifecycle, including design, implementation, testing, deployment, and production support. Experience working with relational or NoSQL databases. Experience with automated testing and continuous integration/deployment practices. Strong analytical and problem-solving skills with the ability to deliver practical, maintainable solutions. Effective communication and collaboration skills within cross-functional engineering teams.
Preferred Qualifications Experience with AWS services such as Lambda, DynamoDB, and Kinesis. Familiarity with distributed systems, scalability, and high-availability concepts. Experience building or supporting messaging, communications, or collaboration platforms. Experience with multiple programming languages, including Java, JavaScript, or TypeScript. Familiarity with AI-assisted software development tools and modern engineering workflows.
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